You have data and a deadline. I build the pieces in between, cleanly, reliably, and with the business goal front and center. I'm a hands-on 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 who takes projects from idea to model to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 (𝗠𝗟𝗢𝗽𝘀), covering NLP, Computer Vision, classic predictive modeling, and modern LLMs / Generative AI, including agentic AI workflows, RAG pipelines, and multi-agent systems, plus production full-stack apps when they truly add value. 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗚𝗼𝗼𝗱 𝗔𝘁: • Turning messy data into something useful: data pipelines, data engineering, features, guardrails • Choosing the right approach: scikit-learn / XGBoost / LightGBM when it's enough, PyTorch / TensorFlow when we need deep learning, LLMs with prompt engineering and fine-tuning when the task calls for it • Building things people actually use: microservices with FastAPI / Django / Flask, responsive frontends in React / Next.js, containers with Docker, cloud deploys on AWS / GCP / Azure, monitoring & retraining so models don't quietly drift • Working across structured and unstructured data: PostgreSQL, MongoDB, Redis, Kafka, documents, APIs, logs, whatever you have • Shipping reliable full-stack SaaS platforms: Node.js / Express backends, React / Next.js / Vue.js / TypeScript frontends, REST / GraphQL APIs, auth, RBAC, payments, WebSockets, background jobs with Celery • Explaining trade-offs clearly so you can make decisions quickly 𝗪𝗵𝗲𝗿𝗲 𝗜'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗺𝗼𝘀𝘁 𝗵𝗲𝗹𝗽𝗳𝘂𝗹 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: agent orchestration with tool calling and multi-step workflows, multi-agent systems, human-in-the-loop review for high-stakes actions, knowledge platforms and enterprise search over internal data, workflow automation (LangChain, LangGraph, n8n) 𝗥𝗔𝗚 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS), embedding models, chunking strategies, hybrid search, evaluation frameworks, safety checks (Hugging Face, OpenAI / Anthropic APIs, LangChain / LlamaIndex) 𝗡𝗟𝗣 / 𝗟𝗟𝗠𝘀: customer support assistants, document Q&A, classification, summarization, knowledge graphs, conversational AI (spaCy, Hugging Face, OpenAI / Anthropic) 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: detection, segmentation, OCR, image processing, quality control, retail/warehouse vision (OpenCV, YOLO, PyTorch) 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗥𝗶𝘀𝗸: demand, pricing, time series analysis, churn/CLV, fraud & credit risk models, quantitative analysis 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗮𝗮𝗦: scalable SaaS platforms, API integration, responsive React / Next.js interfaces, real-time features, e-commerce, payments, dashboards, web scraping (Selenium, Scrapy, BeautifulSoup) 𝗠𝗟𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: CI/CD for ML, model deployment and model serving (REST/gRPC), MLflow, Airflow, Databricks, SageMaker, drift detection, traceability, evaluation loops, metrics, alerting, scheduled retraining 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱: Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab, Jenkins), blue-green deployments, zero-downtime migrations, solution architecture, AWS / GCP / Azure, Bedrock, Vertex AI 𝗛𝗼𝘄 𝘄𝗲'𝗹𝗹 𝘄𝗼𝗿𝗸: 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆: you share goals, constraints, and sample data. I propose a lean plan and success criteria. 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗳𝗮𝘀𝘁: a working baseline in days, not weeks; we measure, iterate, and cut what doesn't matter. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝗶𝘇𝗲: clean code, tests, containers, infra as needed; handover docs and dashboards so your team isn't guessing later. 𝗔𝗳𝘁𝗲𝗿𝗰𝗮𝗿𝗲: I monitor models, handle drift, and plan upgrades on a sensible cadence. 𝗧𝗲𝗰𝗵 𝗜 𝘂𝘀𝗲 𝗮 𝗹𝗼𝘁: Python (Pandas, NumPy, scikit-learn, XGBoost / LightGBM) • PyTorch • TensorFlow / Keras • Hugging Face • spaCy • OpenCV • FastAPI / Django / Flask • React, Next.js, TypeScript, Vue.js • Node.js, Express • PostgreSQL, MongoDB, MySQL, Redis, Kafka • LangChain / LlamaIndex / LangGraph • Pinecone / Weaviate / FAISS • Docker / Kubernetes / Terraform • MLflow • Airflow • Databricks • SageMaker / Bedrock / Vertex AI • n8n • GCP / AWS / Azure 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱: Healthcare | Finance/FinTech | E-commerce/D2C | SaaS | Manufacturing | Logistics | Startups/Scale-ups If you need a partner who can 𝘀𝗵𝗶𝗽, not just explore notebooks or push pixels, send a short note with your goal and a sentence about your data. I'll reply with one or two practical paths, costs, risks, and a realistic timeline, so you can decide quickly.

Top Rated full-stack AI engineer (68 jobs, 100% JSS, 2,000+ hours on Upwork) with 6+ years building production AI systems for manufacturing, FMCG, and operations clients. I ship full SaaS products end-to-end — backend, frontend, AI features, deployment — not prototypes. I build the whole thing. I am a full-stack AI engineer with 6+ years of real business experience inside manufacturing, FMCG, and operations at Coca-Cola, Singer Bangladesh (Arçelik), Walton Hi-Tech. I have been on the client side of broken tools and bad data. Now I build the systems I wished existed. What makes me different from most full-stack freelancers: I can ship your React frontend, wire it to a FastAPI backend, connect it to PostgreSQL, add an AI agent or LLM feature, deploy it to AWS or Vercel — and I understand the business problem well enough to tell you when you are overbuilding. → SAAS MVP DEVELOPMENT This is my primary focus. If you are a founder who needs a working product in 2–4 weeks, this is what I deliver: → React / Next.js frontends — clean, responsive UI built for real users, not just demos. Tailwind CSS, component libraries, smooth UX. → FastAPI or Node.js backends — REST APIs with proper auth (JWT/OAuth), rate limiting, error handling, and documentation your team can actually use → Database design — PostgreSQL with a schema that won’t break when you hit 10,000 users. Migrations, indexing, query optimization. → Full deployment — Vercel for frontend, AWS EC2 or Railway for backend, environment configs, CI/CD with GitHub Actions. You get a live URL, not a zip file. → Stripe integration — subscription billing, usage metering, webhook handling, customer portal. Revenue from day one. → Auth systems — user registration, login, roles and permissions, password reset, email verification. Done properly, not hacked together. → AI & AGENTIC FEATURES FOR YOUR SAAS Most SaaS products in 2025 need at least one AI feature. I build them as production-ready components, not demos: → AI agents built with LangChain and LangGraph — autonomous workflows that research, extract, decide, and deliver structured outputs inside your product → RAG document systems — users upload files, ask questions, get answers with citations. Customer support, internal knowledge bases, legal document review. → LLM-powered data extraction — turn unstructured inputs (emails, PDFs, forms) into clean structured data your database can store → Automation pipelines — Airflow or Celery workers that run background jobs, send alerts, process queues, and keep your product running while nobody is watching → DATA & ANALYTICS LAYER → Power BI and Looker dashboards embedded in your product or delivered standalone — connected to live data, auto-refreshing, built for decision-making not decoration → ETL pipelines — multi-source data ingestion into PostgreSQL or data warehouses, replacing manual work permanently → ML prediction APIs — demand forecasting, churn scoring, recommendation engines — FastAPI endpoints your product can call in real time WHO I WORK WITH Founders building a SaaS MVP who need one engineer who can own the full stack — frontend, backend, AI, and deployment — without managing 4 different freelancers. Startups that have a working product but need to add AI features, improve performance, or fix the architecture before scaling. Operations and manufacturing businesses that need internal tools, dashboards, or automation systems built properly. Small teams where budget matters — you need someone who makes good decisions independently, not someone who needs constant direction. WHAT I HAVE DELIVERED ✓ Full-stack SaaS starter — Next.js frontend, FastAPI backend, PostgreSQL, JWT auth, Stripe billing hooks, rate limiting, deployed on AWS. Used as a base for client products. ✓ RAG document assistant — React UI, FastAPI backend, LangChain + ChromaDB pipeline, deployed on Vercel + EC2. Users upload PDFs, ask questions, get cited answers. ✓ LLM automation agent — searches the web, reads documents, queries a database, writes structured reports to Slack. Replaced 3 hours of manual work per week. ✓ Commercial analytics at Coca-Cola Icecek — sales data systems driving strategic decisions in a high-volume FMCG environment ✓ Quality data systems at Singer Bangladesh

Hi! I’m a Full-Stack Developer with 2+ years of experience building scalable web apps, automating complex workflows, and helping businesses make smarter, faster decisions with data. I focus on creating reliable, high-performance solutions that drive real results. ➡ Tech Stack Highlights: - Frontend/UI: React.js, Next.js, gsap, tailwind, motion, three.js - Backend: Node.js, Python (FastAPI, Django, Flask), REST & GraphQL APIs - Databases: PostgreSQL, MySQL, Supabase, Firebase, Redis, MongoDB - DevOps & Hosting: Docker, GitHub Actions, AWS, GCP, Vercel, Railway, Render - Testing & QA: PyTest, Cypress, Postman, Lighthouse - Automation & Scraping: Scrapy, Playwright, Selenium, BeautifulSoup, n8n, Airflow, dltHub - Data: Pandas, Matplotlib, Seaborn, Polars ➡ What I Can Do for You: 1. Full-Stack Web & SaaS Development Design and build modern, scalable web applications from frontend to backend — including authentication, dashboards, APIs, and cloud deployment. 2. Automation & Workflow Optimization Automate repetitive processes using Python, n8n, and Airflow to reduce manual work, minimize errors, and boost productivity. 3. Web Scraping & Data Extraction Create reliable scraping and data collection pipelines using Scrapy, Playwright, Selenium, and BeautifulSoup to gather clean, structured, and usable data. 4. API Development & Integrations Develop REST & GraphQL APIs and integrate third-party services (payments, CRMs, analytics, messaging, etc.). 5. Database Design & Performance Optimization Design scalable database schemas and optimize queries using PostgreSQL, MySQL, Supabase, Firebase, MongoDB, and Redis. 6. Deployment, DevOps & Monitoring Containerize apps with Docker, set up CI/CD pipelines, and deploy to AWS, GCP, Vercel, Railway, or Render with best practices. I’m passionate about turning complex problems into simple, automated, and scalable solutions. Whether you need a modern full-stack web app, a custom automation workflow, or a robust data pipeline, I’m here to deliver results that exceed expectations.

𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗦𝗶𝗴𝗻𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 | 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗦𝗧𝗧/𝗧𝗧𝗦 + 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗮𝗴𝗲𝗻𝘁𝘀) | 𝗪𝗲𝗯𝗥𝗧𝗖/𝗟𝗶𝘃𝗲𝗞𝗶𝘁 | 𝗦𝗜𝗣/𝗩𝗼𝗜𝗣 (𝗧𝘄𝗶𝗹𝗶𝗼/𝗔𝘀𝘁𝗲𝗿𝗶𝘀𝗸) I build 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝗮𝘂𝗱𝗶𝗼/𝘃𝗶𝗱𝗲𝗼 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that actually hold up on real calls, in production, under load. If you're fighting latency, 𝗰𝗮𝗹𝗹 𝗱𝗿𝗼𝗽𝘀, 𝗡𝗔𝗧/𝗧𝗨𝗥𝗡 𝗶𝘀𝘀𝘂𝗲𝘀, 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝘁𝘂𝗿𝗻-𝘁𝗮𝗸𝗶𝗻𝗴, 𝗿𝗲𝗰𝗼𝗿𝗱𝗶𝗻𝗴 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀 or a 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁 that breaks the moment a real customer interrupts it, I can take it end-to-end and ship something stable. I focus on what client's measure, response latency, barge-in handling, RTT, jitter, packet loss, concurrency and cost per call. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: Python, NumPy, SciPy, Pandas, Scikit-learn ML model development + evaluation Audio/signal processing pipelines Feature engineering + algorithm optimization Distributed computing concepts Real-time data handling & automation 𝗪𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀: Research-backed algorithm design Strong mathematical and analytical foundation Production-aware AI/ML integration System-level thinking (latency, throughput, scalability) Clear documentation and reproducible workflows 𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 (𝗦𝘂𝗺𝗺𝗮𝗿𝘆): WebRTC / LiveKit Engineering SFU scaling strategies, TURN/STUN configuration, ICE tuning Optimizing jitter, packet loss, simulcast/SVC, bitrate adaptation Debugging join failures, audio/video inconsistencies, device issues 𝗠𝗲𝗱𝗶𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: FFmpeg and OBS workflows for ingest → process → record → distribute Reliable multi-track recording and egress configurations Low-latency transcoding and optimized CPU/GPU usage 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 & 𝟯𝗗 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴: Unity, Unreal and Omniverse real-time streaming setups Digital twin + avatar pipelines with synchronized audio/video Ultra-low-latency input → render → stream loops 𝗔𝗜/𝗠𝗟 & 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Real-time OCR, text extraction, scene understanding Background removal, segmentation, enhancement Avatar/lip-sync triggers, real-time CV analytics ML inference integrated into WebRTC with strict latency control 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Dockerized deployments, environment separation Monitoring (jitter, RTT, CPU/mem, packet loss, TURN usage) Alerting, runbooks, load testing, failure-mode analysis 𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: WebRTC / LiveKit Engineering Media Pipelines Interactive & 3D Streaming AI/ML & Computer Vision DevOps & Observability 𝗠𝘆 𝗺𝗶𝘀𝘀𝗶𝗼𝗻: To create next-generation communication systems by merging AI/ML, signal processing and automation and to invent efficient algorithmic approaches that solve complex real-world challenges. Need a solid solution? Drop a text anytime

Machine Learning Engineer & Data Scientist specializing in Time Series, Predictive Modeling, Forecasting, Sensor Data and IoT. My work often bridges applied AI and machine learning, I help startups, research teams, and enterprise clients transform complex data into actionable systems, turning raw signals into predictive insights that drive real-world impact. My Areas of Expertise Include: ⚡️ Time series analysis & forecasting ⚡️ Signal processing for wearable/sensor data ⚡️ Predictive modeling for healthcare & biotech ⚡️ Spatial/geospatial data analysis ⚡️ Financial statistical modeling Projects I've Delivered: I've delivered impactful solutions across diverse industries: 💡Developed a new heart failure prediction approach using accelerometer data, improving AUC by over 20% compared to the baseline through advanced feature engineering and reduced model overfitting. 💡 Validated the feasibility of a wearable breath monitoring system using advanced signal analysis—supporting a funding presentation and informing product development. 💡 Reduced prediction error in protein-ligand binding models using RDKit-based feature engineering and XGBoost; accelerating drug candidate screening in early-stage discovery. 💡 Reduced wave height prediction error by 50% in a coastal forecasting system using multivariate time series modeling, improving surf and safety alerts for Tofino. 💡 Applied statistical modeling to NQ futures data to identify predictive metrics, supporting strategy refinement in a live trading environment. What You Can Expect When Working With Me: ✅ Deep understanding of your goals and technical requirements ✅ Solutions tailored specifically to your use case, not generic approaches ✅ Creative problem-solving that finds insights others might miss ✅ Rapid learning curve for domain-specific knowledge ✅ Clear communication throughout the project lifecycle ✅ Timely delivery and high-quality, documented code Core Technical skills: ✔️ Python (pandas, NumPy, SciPy, scikit-learn, PyTorch) ✔️ Signal Processing (Denoising, Transformations) ✔️ Machine Learning (Classification, Regression, Time Series, Anomaly Detection) ✔️ Data Visualization (Matplotlib, Seaborn, interactive dashboards) ✔️ Statistical Analysis (hypothesis testing, experimental design) ✔️ SQL & Database Management My background combines technical expertise in machine learning and data science with strong client communication, allowing me to bridge the gap between complex analytics and real-world decisions. I'm intentional about the projects I take on, ensuring every engagement gets the attention and quality it deserves! If you're looking for an ML expert who delivers real impact; not just code, let's connect to discuss how I can help transform your data into value!

I Engineer self-healing, AI augmented data automation systems that eliminate manual workflows and scale seamlessly. By combining advanced Python backend architectures (FastAPI, Django) with Azure AI and OpenAI, I build intelligent pipelines that don't just move data they autonomously extract, classify, validate, and enrich it. One system. Runs infinitely. Zero manual intervention. PROVEN IMPACT & CASE STUDIES Enterprise Document Automation: Engineered an automated tax-compliance pipeline leveraging Azure AI Document Intelligence and Python, completely replacing 100% of manual tax form processing with a single-click AI verification system. Mission-Critical Architectures: Designed and deployed a secure, end-to-end digital examination and data management platform for NASTP (National Aerospace Science & Technology Park), eliminating intensive manual administrative workflows. E-Commerce Data Warehouse & Custom API Pipeline: Architected a robust, scalable multi-source data extraction pipeline utilizing advanced ETL methodologies to ingest, clean, and sync high-volume market data into performance-optimized databases. CORE SPECIALTIES & HOW I DELIVER VALUE AI-Augmented ETL/ELT Pipelines Building resilient ingestion frameworks that use LLMs (OpenAI GPT-4o, Azure OpenAI) to process unstructured documents, PDFs, and raw text. Python structures the incoming data, Pydantic v2 strictly validates it, and PostgreSQL stores it securely. Custom API Architectures & Data Warehousing Developing high-performance, asynchronous REST APIs using FastAPI and Django. I integrate complex third-party webhooks, handle rate-limiting seamlessly, and model scalable relational databases backed by SQLAlchemy, Alembic migrations, and advanced SQL (CTEs, Window Functions). Serverless Cloud Deployment Deploying production-grade pipelines onto AWS (S3, Lambda, RDS) and Azure Blob Storage. Your systems run on fully automated schedules in the cloud without requiring manual infrastructure management. Enterprise BI & Analytics Dashboards Transforming raw, automated data warehouses into interactive, executive-level insights using Microsoft Power BI and custom Streamlit web applications. TECH STACK AI & Intelligence: OpenAI API · Azure AI Document Intelligence · Prompt Engineering Backend & APIs: Python · FastAPI · Django · Uvicorn · REST APIs · Pydantic v2 · Docker Data Automation & ETL: Pandas · NumPy · Custom Ingestion Pipelines · SQL Databases & ORM: PostgreSQL · SQLite · SQLAlchemy · Alembic · Snowflake Cloud Infrastructure: AWS (S3, Lambda, RDS) · Azure Cloud Storage BI & Analytics: Microsoft Power BI · Streamlit. Need data automated, AI-enhanced, or securely piped? Click "Invite to Job" to schedule a technical discovery call. I respond to all inquiries within 4 hours.

👋 Hey, I am Harsh Vardhan Mishra, a senior AI and Machine Learning expert with over 8 years of industry experience delivering scalable, production-grade solutions across domains like NLP, Computer Vision, LLMs, Predictive Analytics and Chatbot Development. I help startups and enterprises turn data into intelligence through custom AI solutions that integrate seamlessly with existing systems. I can assist you with: 🔹 LLMs & Generative AI → Custom integration with GPT-4, Claude, Llama 2 for smart chatbots, document parsing & AI agents → Knowledge base assistants with LangChain and RAG pipelines → Automations for content generation, summarization and QA bots 🔹 NLP & Machine Learning → Sentiment analysis, multilingual translation & semantic search → Predictive models for user behavior, fraud detection and forecasting → Advanced Computer Vision: object detection, OCR, quality inspection 🔹Computer Vision Solutions: • Image classification, object detection (YOLO, Detectron2) • OCR, document processing, and real-time video analytics • Quality control and defect detection in manufacturing datasets 🔹AI-Powered Chatbots & Assistants: → Custom chatbot development using GPT and open-source LLMs → Intent recognition, dialogue management, and contextual memory → Deployment with tools like Rasa, LangChain, FastAPI and WebSockets 🔹Backend Engineering with Python: → RESTful APIs and microservices using FastAPI, Flask, Django → Asynchronous pipelines with Celery, Redis, RabbitMQ → CI/CD workflows with Docker, Kubernetes and GitHub Actions → Cloud-native deployments on AWS, GCP, Azure and serverless platforms 🔹Tools & Platforms I Work With Daily: → ML Frameworks: PyTorch, TensorFlow, Scikit-learn, HuggingFace → Data Tools: Pandas, NumPy, Dask, Spark → LLM Ops: LangChain, Weaviate, Pinecone, FAISS → Cloud ML: AWS SageMaker, GCP Vertex AI, Azure ML Studio I specialize in helping clients who: • Have an AI/ML prototype but need help scaling it • Need to integrate intelligent features into an existing app • Want to modernize legacy Python code or optimize slow ML pipelines • Are building from scratch and want expert guidance from day one Whether you are looking to build a custom AI solution, analyze large datasets, create a smart assistant or integrate AI into your existing platform, I bring a deep technical foundation and a problem-solving mindset to every project. 📩 Let’s talk about your project. Whether it’s a chatbot, predictive model or full-scale AI system, I will help you build something your users love and your team can rely on. Best Regards, Harsh Vardhan Mishra

✅ EXPERT DATA ANALYST ✅ EXCEL & GOOGLE SHEETS AUTOMATION ✅300+ SATISFIED CLIENTS ON UPWORK ✅ 7+ YEARS WORK EXPERIENCE I am a full-time freelancer specializing in data analysis, data visualization, and automation using Microsoft Excel, Google Sheets, and Looker Studio. I offer expertise in VBA and Google Apps Script to streamline and enhance data-related tasks. ✅Services Offered: ➡️Data Cleaning and Transformation: Ensuring data accuracy and consistency for reliable analysis. ➡️Data Extraction and Mining: Collecting and processing data from various sources for actionable insights. ➡️Data Analysis and Statistical Modeling: Applying statistical techniques to interpret data and inform decision-making. ➡️Data Visualization: Creating intuitive charts and graphs to represent data insights clearly. Automated Dashboards: Developing interactive dashboards in Excel and Google Sheets for real-time data monitoring. ➡️Report Generation in Looker Studio: Designing comprehensive reports to communicate findings effectively. ✅Technical Proficiencies: ➡️Advanced Formulas: Proficient in VLOOKUP, HLOOKUP, XLOOKUP, FILTER, QUERY, IMPORTRANGE, and more. ➡️Automation: Expertise in Excel Macros (VBA) and Google Apps Script for process automation. ➡️Power Query and Pivot Tables: Skilled in data modeling and summarization for insightful analysis. ➡️Conditional Formatting and Data Validation: Implementing rules and validations to maintain data integrity. ➡️Charting and Graphing: Designing visual representations to elucidate data trends and patterns. ✅Specialized Experience: ➡️Sales Data Analysis: Evaluating sales metrics to identify trends and opportunities. ➡️Financial Forecasting: Projecting financial performance to guide strategic planning. ➡️Custom Template Development: Creating tailored templates to meet specific business needs. ➡️Process Automation: Streamlining repetitive tasks in Excel and Google Sheets to enhance efficiency. ➡️Invoice Automation: Designing systems for automatic invoice generation and management. ➡️Comprehensive Data Reporting: Compiling detailed reports to support business intelligence initiatives. I am dedicated to delivering high-quality work and ensuring client satisfaction. Please feel free to reach out with any inquiries or project proposals.

Hello I’m Orhan, I help organizations turn complex data into clear decisions and measurable outcomes by building production-grade analytics, BI, and AI systems. If your dashboards don’t match source systems, your data pipelines break during refresh, or teams are working with different versions of the same KPI, I help fix the full chain from data extraction to reporting and decision-making. My work often includes data integration, transformation, modeling, BI dashboard development, automation, applied AI, forecasting, scoring, and internal knowledge systems. I’m typically hired to help with: - KPI and metric alignment across teams - Stable data pipelines with automated refresh and monitoring - Executive dashboards and operational reporting systems - Self-serve BI setups that reduce manual reporting - CRM, product, finance, marketing, and operations analytics - Data modeling and semantic layer design - AI-powered workflows, forecasting, scoring, and automation - Analytics systems that support faster and clearer business decisions Core strengths - Python, SQL, API Integration, Automation - AI Agent Development, OpenAI API, NLP, LangChain - Tableau, Power BI, Data Visualization, Dashboard Design - Data Platform Architecture, ETL Pipelines, Data Modeling - Operations Analytics, Health and Research Analytics, Performance Reporting Selected client outcomes - Automated analytics for support operations, helping reduce response time and improve routing through self-serve insights - Optimized data pipelines and compute workflows to support faster experimentation and production handoff - Improved lead-to-opportunity visibility by unifying CRM, marketing, and product signals into a single reporting layer - Supported retention improvements through targeted analytics, scoring, and high-risk segment prioritization What I Build - Unified data pipelines across CRM, product, finance, marketing, and custom APIs - Modern analytics stacks using tools such as Airflow, dbt, Spark, and data warehouses - Power BI and Tableau executive dashboards with semantic models, metrics, and drilldowns - Forecasting and scoring systems for LTV, churn risk, and pipeline visibility - AI enablement through RAG, LLM workflows, evaluation, and automation where there is clear ROI - Documentation, runbooks, and handover materials for ownership-ready delivery Toolbox - Data Engineering: Python, Airflow, dbt, Spark, Kafka - Warehouses and Databases: BigQuery, PostgreSQL, MySQL, MongoDB - BI: Power BI, Tableau, Looker Studio - AI and ML: scikit-learn, TensorFlow, PyTorch, OpenAI API, RAG, LangChain, LlamaIndex - Integrations: REST APIs, GraphQL, Webhooks, ETL and ELT connectors How I Work I work across the full analytics chain, from raw data and pipelines to dashboards, automation, and decision support. My focus is on building clean, reliable, and scalable systems that teams can actually use after delivery. If you need support with analytics, BI, data pipelines, dashboards, reporting automation, or AI-powered data workflows, feel free to invite me on Upwork or send me a direct message.

⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!